Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29
Introduction
00:00 • 2min
Statistical Theory Text Book
02:28 • 2min
Do You Have That Book?
04:25 • 2min
You Make More From Your Books?
05:58 • 2min
Cowboy Boots or Cowboy Hat?
07:49 • 2min
Is That a New Job?
09:21 • 2min
Data Science - You Don't Want to Commit Pats Yet?
11:37 • 2min
Data Science Department
13:07 • 2min
What Is Data Science?
14:47 • 3min
Can You Indorse Me for Parallel Parking?
17:34 • 2min
Machine Learning Engineer
19:15 • 2min
Machine Learning Deployment
21:39 • 3min
Are You a Data Science Teacher?
24:29 • 2min
Is Biostatistics Defining Academic Study?
26:36 • 2min
Hopkins
28:26 • 3min
Can You Do Machine Learning Without Data Analysis?
31:55 • 2min
Can You Build Skill With an Algorithm?
33:32 • 2min
Would the M L Engineers Be Artists?
35:42 • 2min
Machine Learning
37:16 • 2min
Is There a Data Analyst on the Product Side?
38:51 • 3min
Is There a Conflict of Interest Between Analysts and Data Analysts?
41:30 • 3min
Data Science Training
44:46 • 2min
Data Analyst - Is That a Data Analyst?
46:53 • 2min
No Code Platforms - You Need Me to Build a Nab, Right?
48:47 • 3min
You Can't Really Guarantee an Outcome
51:32 • 2min
Why Is It So Hard to Succeed in Business?
53:38 • 2min
I Was Like, Al My Gase, You're Not Goig Tweedli Message Fo Twee From Trump
55:26 • 3min
The Limitation of the Corporation, Right?
58:07 • 2min
Is There a Cambrian Explosion?
01:00:30 • 5min